Blind Equalization in Neural Networks: Theory, Algorithms and Applications

By Liyi Zhang

The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists.

• Format: Hardcover
• Language: English
• ISBN: 3110449625
• ISBN13: 9783110449624
• Release Date: December 2017
• Publisher: de Gruyter
• Length: 268 Pages
• Weight: 1.38 lbs.
• Dimensions: 0.6" x 6.7" x 9.6"
• Grade Range: Postsecondary